Conceptual MINLP approach to the development of a CO2 supply chain network – Simultaneous consideration of capture and utilization process flowsheets

Kegl, Tina; Čuček, Lidija; Kralj, Anita Kovač; Kravanja, Zdravko

doi:10.1016/j.jclepro.2021.128008

Cited by 23 publications

(4 citation statements)

References 35 publications

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“…Additionally, they proposed a MINLP model aimed at minimizing the total SC cost. The authors proposed a conceptual MINLP model to determine the optimal capacity and deployment time of the CCUS system, as well as the optimal matching of emission sources and storage facilities [24].…”

Section: Literature Review On Ccus Supply Chain Network Designmentioning

confidence: 99%

Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption

Lei,

Zhang,

Zhu

2024

Sustainability

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In recent years, various kinds of carbon dioxide capture, utilization and storage supply chain network design (CCUS SCND) problems have been extensively studied by scholars from the supply chain management community and other fields. The existing works mainly focus on the various deterministic or uncertainty problems; few works consider the CCUS SCND resilience problem in the context of utilization/storage facility disruptions due to unexpected natural disasters or other geological anomaly events. This paper aims to study the CCUS SCND resilience problem under utilization/storage facility capacity disruption risk. We propose a stochastic mixed-integer linear programming model for the considered problem. In the considered problem, the main decisions related to the following areas are taken into account: supply chain design and planning; facility disruption risk handling, including the optimal determination of facility locations and the matching of carbon dioxide emission sources and utilization/storage facilities; carbon dioxide normal transportation planning; and transshipment planning for various disruption scenarios. Finally, an experimental study comprising a case study from China is conducted to validate the effectiveness and performance of our proposed model. The obtained results show that the supply chain networks for the case study obtained by our proposed model are efficient, cost-effective and resilient in mitigating various kinds of utilization/storage facility disruption scenarios, showing the model can be applied to large-scale CCUS projects to help managers effectively deal with disruption risks. Future research should consider multiple disruption events and propose multiple effective resilience strategies.

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Section: Literature Review On Ccus Supply Chain Network Designmentioning

confidence: 99%

Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption

Lei,

Zhang,

Zhu

2024

Sustainability

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“…Some MILP and MINLP formulations have been proposed for the planning and scheduling of CCUS. [ 109,110 ] The complexity of these models may vary depending on the aspects of the CCUS system considered, for example, energy balances, pipeline networks, source‐sink connectivity, as well as the length of the planning horizon. Niazvand et al [ 111 ] included CCUS technology as a component of an Energy Hub and optimized the planning of the entire system with economic considerations.…”

Section: Perspectivesmentioning

confidence: 99%

Integration of planning, scheduling, and control: A review and new perspectives

Andrés‐Martínez

Ricardez‐Sandoval

2022

Can J Chem Eng

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The competitive, profitable, and safe operation of chemical plants depends on tight and effective coordination among the different decision making levels of the enterprise, including planning, scheduling, and control. The optimal integration of these functions has become critical given the disruptive effects of the recent COVID-19 pandemic on the supply chains and the current trends in climate change. However, integrating multiple decision making levels creates modelling and computational challenges. In this study, we review the progress made in the integration of two and three decisions levels using mathematical programming and control theory tools. We highlight the model reduction and decomposition techniques that have been applied, as well as the main issues that remain unsolved. Perspectives on emergent areas of application and novel computing solutions are also discussed.

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“…30 Additionally, the optimization of a methanol production facility linked to a coal-fired power station was developed using a mixed-integer nonlinear programming (MINLP) method. 31 Compared with coal power plants, few studies involved NGCC power plants utilizing CCU although the use of NGCC technology is expected to increase globally. However, many previous studies concentrated on the efficiency of NGCC power plants based on the CO 2 capture technique 32 and its technoeconomic feasibility.…”

Section: Introductionmentioning

confidence: 99%

“…The feasibility of the biomass-based thermal power plant combined with a methanol production system was also studied . Additionally, the optimization of a methanol production facility linked to a coal-fired power station was developed using a mixed-integer nonlinear programming (MINLP) method …”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Assessment of Natural Gas Combined Cycle Power Plants with Carbon Capture and Utilization

Zhang

Nguyen

et al. 2023

Energy Fuels

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Carbon utilization in natural gas combined cycle (NGCC) power plants has attracted great attention due to necessary carbon reduction demands. In this study, NGCC power plants integrated with the carbon capture and utilization process (CCU) were developed: Case 2 (NGCC power plant with CO 2 conversion on precarbon capture) and case 3 (NGCC power plant with CO 2 conversion on postcarbon capture). Integrated process configurations were evaluated and compared with case 1 (NGCC power plant only with postcombustion carbon capture) in terms of technical (net power generation, natural gas consumption rate, syngas production rate, CO 2 quantity released into the environment) and economic (total capital cost, total annual revenue, return on investment, payback period, and cash flow) performance. Here, case 2 represented the most environmentally friendly option with the lowest CO 2 released. Besides, case 3 generated the highest amount of electricity due to a lower compression pressure demand for CO 2 utilization than storage in case 1. The economic analysis indicated that the payback periods of cases 1, 2, and 3 were 9.2, 17.18, and 6.9, respectively. Case 3 was the best option under the least capital expenditure, operating expenditure, and the highest annual revenue. Additionally, case 2 was competitive in terms of low total capital cost as compared to case 1. Therefore, the suggested NGCC power plant processes with CCU are viable options for reducing CO 2 emissions and improving the economics of NGCC power plants. In addition, the process may be used as a model for further CO 2 utilization from flue gas released by gas power plants.

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Conceptual MINLP approach to the development of a CO2 supply chain network – Simultaneous consideration of capture and utilization process flowsheets

Cited by 23 publications

References 35 publications

Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption

Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption

Integration of planning, scheduling, and control: A review and new perspectives

Techno-Economic Assessment of Natural Gas Combined Cycle Power Plants with Carbon Capture and Utilization

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